At a Glance
- Tasks: Lead groundbreaking research in bioinformatics and mentor the next generation of scientists.
- Company: Join a prestigious department at Oxford University, renowned for innovation in data science.
- Benefits: Competitive salary, academic freedom, and opportunities for collaboration across disciplines.
- Other info: Be part of a supportive, inclusive environment that values intellectual curiosity.
- Why this job: Shape the future of bioinformatics and make a real impact on biological research.
- Qualifications: Internationally recognised in bioinformatics with a strong research background.
The predicted salary is between 60000 - 90000 £ per year.
Overview
Department of Statistics in association with University College.
The Department of Statistics is seeking to recruit a Professor of Bioinformatics.
The professorship will be held alongside a Fellowship at University College.
The Department is at the forefront of developments in machine learning, data science, and computational methods for understanding complex biological systems, integrating these approaches into both its research and teaching.
This role offers significant scope to shape the future of bioinformatics and quantitative biology at Oxford and beyond.
You will be expected to develop and lead a world-class research programme in bioinformatics, helping to strengthen Oxford's position in areas such as statistical genomics, computational biology, machine learning for biological data, engineering biology, systems biology, and biomedical data science.
We value the breadth of approaches that contribute to modern bioinformatics.
Whatever your particular focus, you will understand how quantitative and computational methods can be applied to important biological and biomedical questions, and how collaboration across disciplines can generate new insights and opportunities.
Alongside your own research, you will support the development of doctoral students, postdoctoral researchers, and early-career academics.
You will contribute to our teaching at undergraduate and postgraduate level, delivering lectures, supervising student projects, and supporting graduate research students.
Responsibilities
- Develop and lead a world-class research programme in bioinformatics, strengthening Oxford's position in statistical genomics, computational biology, machine learning for biological data, engineering biology, systems biology, and biomedical data science.
- Collaborate across disciplines to apply quantitative and computational methods to biological and biomedical questions.
- Support the development of doctoral students, postdoctoral researchers, and early-career academics; supervise and mentor researchers.
- Contribute to teaching at undergraduate and postgraduate levels, deliver lectures, supervise student projects, and support graduate research students.
- Shape research strategy, build productive collaborations, and exercise academic leadership.
- Advance the field through methodological innovation, biological discovery, or development of new approaches for understanding complex data.
- Promote a positive, collaborative, inclusive environment and uphold the department's values of intellectual curiosity and academic excellence.
Qualifications
- International reputation in bioinformatics with a strong record of influential research at the interface of statistics, computational biology, genomics, and data science.
- Proven ability to secure research funding and contribute to large-scale research programs.
- Experience in shaping research strategy, building collaborations, and providing academic leadership.
- Scholarly distinction combined with a collaborative and ambitious approach to research.
- Commitment to fostering a positive, supportive, and inclusive environment for all colleagues.
- Additional Information
If you would like to discuss this post, please contact the Head of the Department of Statistics, Professor Frank Windmeijer or for information about University College contact the Senior Tutor, Dr Andrew Bell, .
All enquiries will be treated in strict confidence and will not form part of the selection decision.
The closing date for applications is 12:00 noon UK time on Monday 21 September 2026. Interviews are expected to be held in November 2026.
PROFESSOR (A20)
Professor of Bioinformatics in Oxford employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
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